TELA
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
undefined (TELA) Business Model and Operations Summary
TELA Bio, Inc., a commercial-stage medical technology company, focuses on providing soft-tissue reconstruction solutions that optimize clinical outcomes by prioritizing the preservation and restoration of the patient's anatomy. It provides a portfolio of OviTex Reinforced Tissue Matrix (OviTex) products for hernia repair and abdominal wall reconstruction; and OviTex PRS Reinforced Tissue Matrix products to address the unmet needs in plastic and reconstructive surgery, as well as OviTex for Laparoscopic and Robotic Procedures, a sterile reinforced tissue matrix derived from ovine rumen with polypropylene fiber intended to be used in laparoscopic and robotic-assisted hernia surgical repairs. The company markets its products through a single direct sales force, principally in the United States. TELA Bio, Inc. was incorporated in 2012 and is headquartered in Malvern, Pennsylvania.
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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